fuyu 8b

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202316K context≈ 12,288 words8B params

Fuyu-8B is a multimodal specialist built around understanding images alongside text, with an unusually simple architecture that handles both modalities without a separate image encoder. It's particularly tuned for digital UI understanding — screenshots, charts, and documents — rather than natural photos. At 8B parameters it's compact, but that focus means it can struggle with general visual reasoning outside its core domain.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Multilingual

fuyu 8b

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released October 202316K context≈ 12,288 words8B params

Fuyu-8B is a multimodal specialist built around understanding images alongside text, with an unusually simple architecture that handles both modalities without a separate image encoder. It's particularly tuned for digital UI understanding — screenshots, charts, and documents — rather than natural photos. At 8B parameters it's compact, but that focus means it can struggle with general visual reasoning outside its core domain.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Instruction Following

Moderate

Multilingual

Glossary

ArchitectureThe underlying structural design of a neural network that defines how data flows through layers and components.EncoderA model component that transforms input sequences (like protein amino acids) into meaningful numerical representations without generating new sequences.Image EncoderA neural network component that converts images into numerical representations that capture visual features and patterns.MultimodalA model that can process and understand multiple types of input, such as both text and images.ParametersThe learned numerical values in a model — more parameters generally means more capacity but higher compute cost.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Visual ReasoningThe capability to analyze images and draw logical conclusions or answer complex questions based on what is depicted in the visual content.

Capabilities

Capabilities

Use Case Fit

Glossary